Multi-Planar Cervical Motion Dataset: IMU Measurements and Goniometer

Area of Science:

• Biomechanics
• Medical Technology
• Data Science

Background:

• Accurate measurement of cervical range of motion (CROM) is crucial for diagnosing and managing spinal conditions.
• Traditional methods may have limitations in precision and reproducibility.
• Inertial Measurement Unit (IMU) sensors offer a potential for objective and wearable motion tracking.

Purpose of the Study:

• To present a replicable dataset and method for calculating CROM using quaternion-based orientation analysis from Delsys IMU sensors.
• To validate the developed method against a Universal Goniometer.
• To assess the reliability and reproducibility of the CROM measurement technique.

Main Methods:

• Utilized Delsys IMU sensors for data acquisition.
• Applied quaternion-based orientation analysis to calculate CROM.
• Recruited 14 participants, analyzing 504 cervical movements across sagittal, frontal, and horizontal planes.
• Validated measurements against a Universal Goniometer.

Main Results:

• Demonstrated strong validity in the sagittal plane (R = 0.828 ± 0.051) and moderate validity in the frontal plane (R = 0.573 ± 0.138).
• Observed limitations in the horizontal plane validity (R = 0.353 ± 0.122).
• Achieved high reliability across all planes (Sagittal ICC = 0.855 ± 0.065, Frontal ICC = 0.855 ± 0.015, Horizontal ICC = 0.945 ± 0.005).

Conclusions:

• The developed CROM measurement model is a valuable tool for aiding diagnosis, treatment planning, and monitoring of cervical spine conditions.
• This study provides an accessible analysis process for biomechanical assessments in cervical and spinal fields.
• The dataset serves as a benchmark for machine learning models in head/neck position prediction and movement analysis.